摘要
目的分析天山花楸枝、叶、果实的红外光谱特征。方法采用傅里叶变换红外光谱技术及溴化钾压片法对天山花楸枝、叶、果实进行红外光谱及其二阶导数谱测定,以溴化钾作为空白,扫描范围4000~400 cm^(-1),分辨率为4 cm^(-1),每批样品扫描20次。结果天山花楸枝、叶、果实均在~3400、~2900、~1730、~1610、~1420、~1060、~800 cm^(-1)处出现特征吸收峰,无较大差异。二阶导数谱在~1500、~1410、~1320、~1060、~740 cm^(-1)处峰形和峰强表现出一定的差异性。天山花楸枝、叶、果实中所含的主成分为黄酮、苷类及氨基酸等化合物,叶中含量最高,其次是枝,且细枝中含量明显高于粗枝;果实中以苷类成分为主,也含有脂类成分。结论傅立叶变换红外光谱技术能快速表征天山花楸的特征,可作为天山花楸质量评价和控制的依据。
Objective To analyze the infrared spectral characteristics of the branch,leavf and fruit of Sorbus tianschanica Ruper.Methods Fourier transform infrared spectroscopy technique and potassium bromide tablet pressing method was used to determine the infrared spectrum and its second derivative spectrum of Sorbus tianschanica Ruper branch,leaf and fruit.Potassium bromide was used as blank,4000-400 cm^(-1) as scanning range,4 cm^(-1) as resolution,and each batch of samples were scanned 20 times.Results There were characteristic absorption peaks at~3400,~2900,~1730,~1610c,~1420,~1060 and~800 cm^(-1) in the branch,leaf and fruit of Sorbus tianschanica Ruper,and there was no significant difference.The second derivative spectra showed some difference in peak shape and intensity at~1500,~1410,~1320,1060 and~740.Flavonoids,glycosides and amino acids were the main components in the branch,leaf and fruit of Sorbus tianschanica Ruper,with the highest content in leaf,followed by branch,and the content in twigs were significantly higher than that in coarse branch.The fruit mainly contained glycosides and lipid components.Conclusion Fourier transform infrared spectroscopy can quickly give the characteristics of Sorbus tianschanica Ruper,and itcan be used as a basis for quality evaluation and control of Sorbus tianschanica Ruper.
作者
屯妮萨古丽·艾买提江
常军民
李改茹
Tunnisaguli Aimaitijiang;CHANG Junmin;LI Gairu(College of Pharmacy,XinJiang Medical University,Urumqi 830017,China)
出处
《新疆医科大学学报》
CAS
2023年第7期947-950,956,共5页
Journal of Xinjiang Medical University
基金
新疆维吾尔自治区自然科学基金项目(2020D01C167)。
关键词
天山花楸
傅里叶变换红外光谱
特征分析
Sorbus tianschanica Ruper.
fourier transform infrared spectroscopy
characteristic analysis
